Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2010_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2010_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2010_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2010_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44a785729183f890dcf9f71e9ac5376dc8f127a1e8db9502e04b52876d0995a0
- Size of remote file:
- 185 MB
- SHA256:
- 923217ad0c7175cebe69b3ec9c17d2fa59a51d578d9a5db127441d081e9cac12
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